GTM with AI-generated videos
The assignment
Run a full GTM with AI-generated videos (Higgsfield, Google Veo). Land your first 10 users on Instagram or LinkedIn.
✳What Saket shipped
A hosted GTM AI Copilot web app that turns a website or ICP analysis into a campaign strategy, script, and rendered video assets, with support for backends like Veo, Kling, and Runway.
✳Our read on this build
Saket shipped a deployed web app you can open. This read comes from the artifact and Saket's own account of it — no scores, just what the build does and does not show.
What it demonstrates
- There is real creative here: Veo and Runway.
- And it left the editor: a campaign.
What is not shown
- No user outcome is reported publicly — and the first ten users, not the video, was the actual finish line here.
Take this awayThe compressed lesson: creative used to be the bottleneck and now it is not, which means campaigns get judged on targeting and follow-through instead.
✳Why this quest matters
Distribution is part of the build. Landing real users — not likes — is the honest scoreboard, and generating the creative with AI is how a solo PM runs a campaign that used to need a whole team.
✳What separated the strongest builds
The creative is genuinely AI-made
Video out of an AI video tool — Veo, Higgsfield and friends — rather than a screen recording or stock footage with a caption on it.
The campaign actually ran
Posted, live, on a real feed. A campaign plan describing what you would post is a different, easier assignment.
Users, not views
Signups, waitlist joins, trials — people who did something. Impressions are the number you report when the other numbers are small.
No numeric scores are published here. These pages are written reads of what each builder shipped — the build is the point, not a mark out of a hundred.